Name Venue Year Citations
Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning. ECML/PKDD 2011 25
FURIA: an algorithm for unordered fuzzy rule induction. DMKD 2009 187
Preference-Based CBR: General Ideas and Basic Principles. IJCAI 2013 2
Preference-based reinforcement learning: a formal framework and a policy iteration algorithm. MLJ 2012 67
Multilabel classification via calibrated label ranking. MLJ 2008 409
Case Base Maintenance in Preference-Based CBR. ICCBR 2015 2
Possibilistic instance-based learning. Artificial Intelligence 2003 22
Learning Solution Similarity in Preference-Based CBR. ICCBR 2014 8
Combining Instance-Based Learning and Logistic Regression for Multilabel Classification. ECML/PKDD 2009 203
On label dependence and loss minimization in multi-label classification. MLJ 2012 159
ML-Plan: Automated machine learning via hierarchical planning. MLJ 2018 26
Decision tree and instance-based learning for label ranking. ICML 2009 82
Consistency of Probabilistic Classifier Trees. ECML/PKDD 2016 10
Label Ranking Methods based on the Plackett-Luce Model. ICML 2010 56
Case-Based Multilabel Ranking. IJCAI 2007 54
Case-Based Label Ranking. ECML/PKDD 2006 18
A Critical Analysis of Variants of the AUC. ECML/PKDD 2008 0
An Exact Algorithm for F-Measure Maximization. NIPS/NeurIPS 2011 73
Learning monotone nonlinear models using the Choquet integral. MLJ 2012 9
Bipartite Ranking through Minimization of Univariate Loss. ICML 2011 62
On Minimizing the Position Error in Label Ranking. ECML/PKDD 2007 10
Superset Learning Based on Generalized Loss Minimization. ECML/PKDD 2015 13
Label Ranking in Case-Based Reasoning. ICCBR 2007 8
Predicting Partial Orders: Ranking with Abstention. ECML/PKDD 2010 35
On the bayes-optimality of F-measure maximizers. JMLR 2014 35
Ranking Distributions based on Noisy Sorting. ICML 2018 0
Learning Monotone Nonlinear Models Using the Choquet Integral. ECML/PKDD 2011 38
Top-k Selection based on Adaptive Sampling of Noisy Preferences. ICML 2013 51
Binary Decomposition Methods for Multipartite Ranking. ECML/PKDD 2009 44
Preferences in AI: An overview. Artificial Intelligence 2011 117
PAC Rank Elicitation through Adaptive Sampling of Stochastic Pairwise Preferences. AAAI 2014 20
Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm. MLJ 2014 19
Instance-Based Prediction with Guaranteed Confidence. ECAI 2004 3
Extreme F-measure Maximization using Sparse Probability Estimates. ICML 2016 36
A Reduction of Label Ranking to Multiclass Classification. ECML/PKDD 2019 1
Bayes Optimal Multilabel Classification via Probabilistic Classifier Chains. ICML 2010 309
Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty. IJCAI 2018 4
Editorial: Preference learning and ranking. MLJ 2013 3
Implication-Based Fuzzy Association Rules. ECML/PKDD 2001 38
Cho-k-NN: A Method for Combining Interacting Pieces of Evidence in Case-Based Learning. IJCAI 2005 7
Learning TSK Fuzzy Rules from Data Streams. ECML/PKDD 2017 2
Predicting the Electricity Consumption of Buildings: An Improved CBR Approach. ICCBR 2016 1
The Choquet kernel for monotone data. ESANN 2014 1
Probability Estimation for Multi-class Classification Based on Label Ranking. ECML/PKDD 2012 3
A Unified Model for Multilabel Classification and Ranking. ECAI 2006 88
Qualitative Multi-Armed Bandits: A Quantile-Based Approach. ICML 2015 21
Label Ranking with Partial Abstention based on Thresholded Probabilistic Models. NIPS/NeurIPS 2012 26
Online F-Measure Optimization. NIPS/NeurIPS 2015 16
Preference-Based CBR: First Steps toward a Methodological Framework. ICCBR 2011 15
Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss. ECML/PKDD 2010 32
Graded Multilabel Classification: The Ordinal Case. ICML 2010 28
Consistent Multilabel Ranking through Univariate Losses. ICML 2012 23
An Analysis of Chaining in Multi-Label Classification. ECAI 2012 36
Learning to Rank Lexical Substitutions. EMNLP 2013 12
Learning to Aggregate Using Uninorms. ECML/PKDD 2016 2
Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization. ICML 2013 61
Learning to Rank Based on Analogical Reasoning. AAAI 2018 6
On the Representation and Combination of Evidence in Instance-Based Learning. ECAI 2002 3
Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA. ACML 2019 0
Weighted Rank Correlation: A Flexible Approach Based on Fuzzy Order Relations. ECML/PKDD 2015 2
Preference-Based CBR: A Search-Based Problem Solving Framework. ICCBR 2013 4
Hierarchical Classification by Expected Utility Maximization. ICDM 2006 3
Toward a Probabilistic Formalization of Case-Based Inference. IJCAI 1999 17
On Pairwise Naive Bayes Classifiers. ECML/PKDD 2007 14
A Fuzzy Approach to Flexible Case-based Querying: Methodology and Experimentation. KR 2002 7
Association Rules for Expressing Gradual Dependencies. ECML/PKDD 2002 53
Possibilistic Induction in Decision-Tree Learning. ECML/PKDD 2002 16
Label ranking by learning pairwise preferences. Artificial Intelligence 2008 328
Pairwise Preference Learning and Ranking. ECML/PKDD 2003 157
On the effectiveness of heuristics for learning nested dichotomies: an empirical analysis. MLJ 2018 4
Online Rank Elicitation for Plackett-Luce: A Dueling Bandits Approach. NIPS/NeurIPS 2015 39
Focusing Search by Using Problem Solving Experience. ECAI 2000 5
Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows. ICML 2014 39
Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening. ICML 2017 4
Dyad Ranking Using A Bilinear Plackett-Luce Model. ECML/PKDD 2015 0
Similarity-based Inference as Evitential Reasoning. ECAI 2000 0
Combining instance-based learning and logistic regression for multilabel classification. MLJ 2009 0
Guest Editors' introduction: special issue of the ECML/PKDD 2014 journal track. MLJ 2014 0
A critical analysis of variants of the AUC. MLJ 2008 0
Dyad ranking using Plackett-Luce models based on joint feature representations. MLJ 2018 0
Multi-target prediction: a unifying view on problems and methods. DMKD 2019 0
Guest editors' introduction: special issue of the ECML/PKDD 2014 journal track. DMKD 2014 0
A systematic approach to the assessment of fuzzy association rules. DMKD 2006 0
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